Brasil | Artículos de revistas
dc.creatorCaquet, B.
dc.creatorDe Grandcourt, A.
dc.creatorM'bou, A. Thongo
dc.creatorEpron, D.
dc.creatorKinana, A.
dc.creatorSaint Andre, L.
dc.creatorNouvellon, Y.
dc.date.accessioned2013-11-05T11:45:49Z
dc.date.accessioned2018-07-04T16:20:49Z
dc.date.available2013-11-05T11:45:49Z
dc.date.available2018-07-04T16:20:49Z
dc.date.created2013-11-05T11:45:49Z
dc.date.issued2012
dc.identifierAGRICULTURAL AND FOREST METEOROLOGY, AMSTERDAM, v. 158, n. 6, supl. 1, Part 1, pp. 71-79, 42156, 2012
dc.identifier0168-1923
dc.identifierhttp://www.producao.usp.br/handle/BDPI/41254
dc.identifier10.1016/j.agrformet.2012.02.008
dc.identifierhttp://dx.doi.org/10.1016/j.agrformet.2012.02.008
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1634661
dc.description.abstractIn savannah and tropical grasslands, which account for 60% of grasslands worldwide, a large share of ecosystem carbon is located below ground due to high root:shoot ratios. Temporal variations in soil CO2 efflux (R-S) were investigated in a grassland of coastal Congo over two years. The objectives were (1) to identify the main factors controlling seasonal variations in R-S and (2) to develop a semi-empirical model describing R-S and including a heterotrophic component (R-H) and an autotrophic component (R-A). Plant above-ground activity was found to exert strong control over soil respiration since 71% of seasonal R-S variability was explained by the quantity of photosynthetically active radiation absorbed (APAR) by the grass canopy. We tested an additive model including a parameter enabling R-S partitioning into R-A and R-H. Assumptions underlying this model were that R-A mainly depended on the amount of photosynthates allocated below ground and that microbial and root activity was mostly controlled by soil temperature and soil moisture. The model provided a reasonably good prediction of seasonal variations in R-S (R-2 = 0.85) which varied between 5.4 mu mol m(-2) s(-1) in the wet season and 0.9 mu mol m(-2) s(-1) at the end of the dry season. The model was subsequently used to obtain annual estimates of R-S, R-A and R-H. In accordance with results reported for other tropical grasslands, we estimated that R-H accounted for 44% of R-S, which represented a flux similar to the amount of carbon brought annually to the soil from below-ground litter production. Overall, this study opens up prospects for simulating the carbon budget of tropical grasslands on a large scale using remotely sensed data. (C) 2012 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherELSEVIER SCIENCE BV
dc.publisherAMSTERDAM
dc.relationAGRICULTURAL AND FOREST METEOROLOGY
dc.rightsCopyright ELSEVIER SCIENCE BV
dc.rightsclosedAccess
dc.subjectTROPICAL GRASSLAND
dc.subjectSOIL RESPIRATION
dc.subjectLAI
dc.subjectAPAR
dc.subjectPARTITIONING
dc.subjectSEASONAL VARIATION
dc.titleSoil carbon balance in a tropical grassland: Estimation of soil respiration and its partitioning using a semi-empirical model
dc.typeArtículos de revistas


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